Technical Lead - Mobility Analytics & Network Strategy

About The ePlane Company The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight. Chart the Course for the Future of Flight Lead the development to build demand modelling and network-level analytics that power mobility platforms. Ride-hailing platforms have solved route-level demand forecasting, origin-destination pair analysis, network elasticity, and real-time demand signal extraction at a scale that aviation market research has historically not looked towards. We are looking for someone who brings that analytical sophistication into the aviation context. This position requires a deep quantitative background in high-frequency mobility networks (Ride-hailing/Aviation). You will be responsible for predicting the impact our aircrafts will have in different geographies and regions of the world. This position is a combined role between technical and strategy/BD Roles and

Responsibilities Build and own complex, multi-modal demand models to simulate passenger flow and network elasticity, and fleet dynamics. Utilize historical data and external variables to forecast market penetration and route-specific demand. Analyse market share dynamics and pricing strategies from traditional airlines and ground transportation. Define the Go-to-Market geographical sequence based on data-driven demand clusters. Maintain the highest standards for code quality, including conducting rigorous code reviews, developing comprehensive unit tests, and producing clear, thorough documentation.

Requirements Required Qualifications 7+ years of professional experience in ridehailing demand modelling or airliners with genuine depth in quantitative demand modelling Proven track record in Demand Modeling and Supply-Demand Balancing at a network scale. Proven understanding of fundamental data structures and the ability to apply them to solve complex problems. Hands-on experience developing and implementing optimization-based solutions using libraries such as NLopt, Ceres Solver, g2o, or similar. Ability to oversee and peer-review high-complexity optimization frameworks Proficiency in statistical modelling with the ability to build and run regression models, not just use pre-built tools Comfort with large, messy, multi-source datasets Experience with Monte Carlo simulation or probabilistic forecasting

Preferred

Qualifications Experience with modern software development methodologies, including Agile, CI/CD pipelines, and version control (Git). Experience with GDP-elasticity or econometric demand forecasting Rock-solid understanding of mathematics, particularly linear algebra, multivariate calculus, differential equations, probability theory Aviation industry exposure like airline revenue management, OEM market research, IATA economics, or aviation consultancy Familiarity with fleet databases Understanding of Multimodal Elasticity

Benefits

What

We Offer The opportunity to work on a groundbreaking product that will redefine urban transportation. A dynamic, fast-paced, and collaborative work environment with a brilliant and passionate team. Competitive salary and benefits. A culture of innovation where your ideas can directly impact the future of flight